Optimize frame storage in process_video function

- Modify the handling of  to keep only the most recent frames required for processing by limiting the length of the list to .
- This prevents unnecessary memory usage when processing long videos by discarding older frames that are no longer needed.

annolid/gui/app.py

@@ -1036,7 +1036,7 @@ def _select_sam_model_name(self):
 
     def stop_prediction(self):
         # Emit the stop signal to signal the prediction thread to stop
-        self.pred_worker.stop()
+        self.pred_worker.stop_signal.emit()
         self.seg_pred_thread.quit()
         self.seg_pred_thread.wait()
         self.stepSizeWidget.predict_button.setText(

annolid/tracker/cotracker/track.py

@@ -213,6 +213,8 @@ def process_video(self,
                             f"Tracking frame {i}, {pred_tracks.shape}, {pred_visibility.shape}")
                     is_first_step = False
                 window_frames.append(frame)
+                if len(window_frames) > self.model.step * 2:
+                    window_frames = window_frames[-self.model.step * 2:]
 
             pred_tracks, pred_visibility = self.process_step(
                 window_frames[-(i % self.model.step) - self.model.step - 1:],